Introduction

Music can touch the hearts of any audience without them possessing any knowledge of its context. The power of music is transcendental, and it stems from the timbre of the instrument(s), the fundamental rhythmic structure and melody, the dynamics, instrumentation, and many more, all of which cooperate in some form of harmony to create the final product. With the recent rise of Artificial Intelligence-Generated Contents (AIGC), AI for music is a promising field full of creativity, novel methodologies, and technologies that are yet to be explored. Currently, AI for music methods have been commonly concentrated on utilizing machine learning and deep learning techniques to generate new music. Despite the significant milestones that have been achieved thus far, many are not necessarily robust for a wide range of applications.

AI music itself is a timely topic. This workshop aims to generate momentum around this topic of growing interest, and to encourage interdisciplinary interaction and collaboration between AI, music, Natural Language Processing (NLP), machine learning, multimedia, Human-Computer Interaction (HCI), audio processing, computational linguistics, and neuroscience. It serves as a forum to bring together active researchers and practitioners from academia and industry to explore emerging advances in AI music generation, including generative models, multimodal music intelligence, music representation and understanding, human-AI co-creation, evaluation, and creative applications in this promising area.

Topics

Machine learning/AI for music
Natural language processing for music generation
Algorithmic music generation
Music generation based on a specific aspect: lyrical, chordal, motivic, melodic, and rhythmic
AI-generated lyrics
AI-generated instrumental audio (including vocal)
Computational musicology
AI music interpretation
AI music data representation
Music evaluation metrics
Multiple-channel AI music generation
AI musical fusion (notes, audio, etc.)
AI generation for musical performance and expression
AI music enhancement (e.g. AI-generated instrumentation)
AI musical ethics
AI music generation datasets
Human-Centered Interaction (HCI) for AI music generation
AI music for neuroscientific applications
AI-aided music theory applications
AI bird song generation and translation
AI natural sound generation

Important Dates (AoE)

Milestone	Deadline for IEEE Big Data Publishing	Deadline for Cross-AI (IEEE, EI-indexed, or non-archival)
Full/Short Paper Submission	~~October 19, 2026~~ October 26, 2026 (extended)	November 2, 2026
Poster/Demo Paper Submission	October 26, 2026	November 9, 2026
Abstract Submission (Poster-Only, Demo-Only, Lightning Talk, Industry Talk, Previously Published Work)	—	November 9, 2026
Acceptance Notification	Before November 12, 2026	Initial acceptance no later than November 23, 2026
Camera-Ready (archival)/Revised Versions (non-archival)	November 26, 2026	November 30, 2026
Pre-recorded Video/Presentation Materials	November 26, 2026	November 30, 2026
Author Registration Deadline	November 25, 2026	November 30, 2026

AI Music Composition Deadlines

Milestone	Deadline for IEEE Big Data Publishing	Deadline for Cross-AI (IEEE, EI-indexed, or non-archival)
AI musical composition submission	October 26, 2026	November 9, 2026
Music acceptance notification	November 9, 2026	November 23, 2026

AI Music Composition Submission

The workshop also accepts AI musical compositions.

Item	Requirement
Abstract	1–2 pages + up to 2-page appendix
Audio or video	Shareable MP3 or MP4 link, maximum 10 minutes
Sheet music	Optional, up to 9 pages
Total length	Abstract (including appendix) and sheet music combined: no more than 10 pages

Please note that composition submissions not created using AI or algorithmic methods, or including audio exceeding 10 minutes in duration, will not be eligible for participation in the AI Music Composition Competition.

Submission Guidelines

Before submitting, read the Author Guidelines, the Submission Guidelines, the Publication and Media Hosting guidelines, and all policies, then complete the Checklist for Initial Submission. Submissions that do not follow the guidelines and policies are desk-rejected under the Desk Rejection Policy.

Full and Short Papers are reviewed double-blind.

All submissions, including IEEE Big Data workshop papers and all Cross-AI submissions, must be made through the new AirBalloon conference management system. Only submissions made there enter the review process.

Submit →

Registration

All submissions are evaluated through a unified process. At least one author of each accepted submission must register and present the work. There are two separate registrations, depending on where the work is published:

Published in	Register with	Deadline	Archival Paper Fees
Cross-AI 2027 Proceedings by IEEE, EI-indexed Cross-AI 2026 Proceedings, or non-archival	Cross-AI registration	November 30, 2026	From $200 (details)
IEEE Big Data 2026 proceedings	IEEE Big Data 2026 registration	November 25, 2026	Estimated from $850 (details)

Register with the registration that matches where each accepted work is published. IEEE Big Data registration covers only attending the online Cross-AI Symposium 2026. Cross-AI publication and media hosting require Cross-AI registration. Authors with accepted papers in both IEEE Big Data and Cross-AI must register for both.

Committee

Workshop Chairs

Ellie Zhang, IntelliSky, USA
Callie Liao, Stanford University, USA

Program Committee

Johanna Devaney, Brooklyn College and CUNY Graduate Center
Shlomo Dubnov, UC San Diego, USA
Kaiqun Fu, Texas Christian University, USA
Jesse Guessford, George Mason University, USA
Ge Jin, Purdue University, USA
Fanchun Jin, Google, USA
Lindi Liao, George Mason University, USA
Sean Luke, George Mason University, USA
Jeffrey Morris, Texas A&M University, USA
Chen Shen, Google, USA
Alex Wong, Yale University, USA
Yanjia Zhang, IntelliSky, USA
Zhenwei Zhang, University of Maryland, USA

AIMG Group

This group serves as a forum for notices and announcements of interest to the AI Music Generation (AIMG) community. This includes news, events, calls for papers, calls for collaborations between academia and industry, dataset releases, employment-related announcements, etc.

Welcome to subscribe to the AIMG group.

Previous Workshops

To serve on the workshop program committee or as a reviewer, please apply online. Applicants may select multiple workshops relevant to their expertise. Approved applicants may be invited to review papers. Those providing high-quality reviews will be appointed to the Program Committee, and others will be acknowledged as external reviewers.